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feat(qaas): bootstrap quantum computing product (#5846)
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‎menu/filters.json‎

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"label": "Storage",
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"icon": "StorageCategoryIcon"
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},
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{
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"items": [
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{
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"category": "quantum-as-a-service",
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"label": "Quantum Computing"
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}
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],
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"category": "quantum",
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"label": "Quantum",
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"icon": "QuantumCategoryIcon"
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},
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{
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"items": [
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{

‎menu/navigation.ts‎

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import { transactionalEmailMenu } from "../pages/transactional-email/menu"
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import { vpcMenu } from "../pages/vpc/menu"
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import { webhostingMenu } from "../pages/webhosting/menu"
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import { quantumComputingMenu } from "../pages/quantum-computing/menu"
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export default [
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{
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label: 'Serverless',
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category: 'serverless',
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},
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{
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icon: 'LabsCategoryIcon',
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items: [
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quantumComputingMenu,
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],
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label: 'Quantum',
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category: 'quantum',
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},
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{
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icon: 'StorageCategoryIcon',
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items: [

‎pages/quantum-computing/additional-content/aqt-qpus.mdx‎

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---
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title: AQT QPUs Information
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description: Learn more about AQT's QPUs available at Scaleway.
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tags: ibex qpu
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dates:
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validation: 2025-11-21
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posted: 2021-11-21
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---
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The IBEX-Q1 by **Alpine Quantum Technologies** (AQT) brings trapped-ion technology to the QaaS portfolio. Known for its extremely high fidelity and long coherence time, the IBEX QPU offers all-to-all connectivity between its qubits, simplifying complex circuit design. The device is rack-mountable, operates at room temperature, and consumes less than 2 kilowatts, ideal for precision-critical simulations (like fluid dynamics).
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## Key Features
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* **All-to-all connectivity:** All-to-All Connectivity: Every qubit is connected to every other qubit. This eliminates the need for SWAP gates, significantly reducing circuit depth and error rates.
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* **High fidelity:** Trapped ions offer some of the lowest error rates in the industry for 2-qubit gates.
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* **Room temperature operation:** The system fits in standard rack cabinets and does not require the massive dilution refrigerators needed for superconducting qubits.
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## Use cases
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Thanks to its connectivity, the IBEX-Q1 QPU is particularly well suited for:
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* **Combinatorial optimization:** Problems where variables are highly interdependent (finance, logistics).
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* **Quantum simulation:** Simulating complex molecules where the entanglement structure is dense.
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* **Deep circuits:** Algorithms requiring long computation times before decoherence sets in.
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## AQT QPUs and emulators available at Scaleway
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The **IBEX-Q1**, or the `QPU-IBEX-12PQ` platform on Scaleway, is AQT's general-purpose quantum processor.
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| Platform name | QPU Model | Qubits & Topology | Fidelity Metrics (Avg) | Speed Metrics | Pricing Model |
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| :--- | :--- | :--- | :--- | :--- |
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| **QPU-IBEX-12PQ** | IBEX-Q1 | 12 qubits, All-to-All | 1 gate: 99.97% 2-Gates: 98.7% | 5.5Hz | 0.3€/circuit + 0.021€/shot |
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By leveraging the power of **Qiskit Aer** and dedicated resources, we provide digital twins of the IBEX-Q1 quantum computer. This emulation accurately models the all-to-all connectivity and topology of the trapped-ion QPU, offering accessible, cost-effective environments for prototyping and experimentation.
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| Platform name | Hardware & emulator | Qubits & topology | Fidelity metrics | Pricing model |
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| **EMU-IBEX-12PQ-L4**| L4 GPU, Aer | 12 qubits, All-to-All | 1 gate: 99.97% 2-Gates: 98.7% | 0.75€/hour |
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| **EMU-IBEX-12PQ-16C-128M**| L4 GPU, Aer | 12 qubits, All-to-All | 1 gate: 99.97% 2-Gates: 98.7% | 0.82€/hour |
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<Message type="tip">
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Refer to the [How to program AQT processors](/quantum-computing/how-to/use-aqt-qpus) to learn how to use them at Scaleway.
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</Message>

‎pages/quantum-computing/additional-content/index.mdx‎

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---
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title: Quantum Computing Additional Content
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description: Quantum Computing Additional Content
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---

‎pages/quantum-computing/additional-content/iqm-qpus.mdx‎

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---
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title: IQM QPUs Information
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description: Learn more about IQM QPUs.
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tags: iqm qpu
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dates:
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validation: 2025-11-21
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posted: 2021-11-21
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---
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**IQM** is a European leader founded in 2018, specializing in superconducting quantum computers based on transmon technology. These processors are optimized for the general-purpose, universal gate model, making them ideal for the design and execution of standard algorithms, providing high reliability in a low-temperature environment.
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## Key features
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* **High execution speed:** Superconducting transmon qubits offer nanosecond-scale gate speeds (MHz range), allowing for millions of shots in a short timeframe.
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* **Standard gate model:** Follows the universal gate-based paradigm (similar to IBM, Google, Alice and Bob), making it the industry standard for benchmarking and running portable algorithms.
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* **Fast reset:** Capable of rapid qubit initialization, which is critical for iterative algorithms requiring frequent re-execution.
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## Use cases
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* **Variational algorithms (VQE/QAOA):** The high execution speed makes it the best choice for hybrid loops requiring heavy iteration between CPU and QPU (e.g., near-term chemistry or optimization).
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* **Financial modeling:** Monte Carlo simulations and risk analysis requiring high-throughput sampling.
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* **Benchmarking & education:** Ideal for testing standard quantum algorithms (Shor, Grover) and learning quantum logic on established hardware.
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## IQM QPUs available at Scaleway
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Three types of IQM QPUs based on transmons, are available at Scaleway:
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* **Garnet (20 Qubits):** Ideally suited for benchmarking standard gate-based algorithms and running small-scale variational circuits (VQE, QAOA). It is a robust and stable system, making it the perfect entry point for exploration.
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* **Sirius (24 Qubits):** This processor features a unique "star" topology. Currently, **16 qubits are fully operational** and exposed for computation. It is specifically interesting for testing algorithms that benefit from high connectivity centers, differing from standard grids.
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* **Emerald (54 Qubits):** IQM's latest generation processor. With **54 qubits**, Emerald crosses a significant threshold, allowing for the execution of circuits that are difficult to simulate classically (depending on depth). It is designed for advanced research, exploring Quantum Advantage, and running deep circuits.
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The table below summarizes the key technical specifications and pricing models for each available QPU.
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| Platform name | QPU Model | Qubits & Topology | Fidelity Metrics (Avg)* | Speed Metrics | Benchmarks | Pricing Model |
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| :--- | :--- | :--- | :--- | :--- | :--- | :--- |
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| **QPU-GARNET-20PQ** | Crystal-20 | 20 Qubits [Square grid](https://www.iqmacademy.com/qpu/garnet/) | 1 gate: 99.88% 2-Gates: 99.4% Readout:96.80% | 2600 CLOPS | Qv: 32 Q-score: 15 | 0.22€/circuit + 0.0012€/shot or 2000€/hour |
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| **QPU-SIRIUS-24PQ** | Star-24 | 16 Active (of 24) [Star tpology](https://www.iqmacademy.com/qpu/sirius/) | 1 gate: 99.89% 2-Gates:98.27% Readout:98.05% | 2550 CLOPS | X | 0.2€/circuit + 0.00075€/shot or 1200€/hour |
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| **QPU-EMERALD-54PQ**| Crystal-54 | 54 Qubits [Square grid](https://www.iqmacademy.com/qpu/emerald/) | 1 gate: 99.8% 2 Gates:98.86% Readout:96.53% | 2550 CLOPS | Qv: 64 Q-score: 24 | 0.25€/circuit +0.0014€/shot or 3000€/hour |
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<Message type="note">
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Fidelity metrics are indicative averages.
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</Message>
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<Message type="tip">
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Refer to the [How to program IQM QPUs](/quantum-computing/how-to/use-iqm-qpus) to learn how to use them at Scaleway.
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</Message>

‎pages/quantum-computing/additional-content/pasqal-qpus.mdx‎

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---
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title: Pasqal QPUs Information
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description: Learn more about Pasqal QPUs available at Scaleway.
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tags: pasqal qpu
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dates:
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validation: 2025-11-21
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posted: 2021-11-21
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---
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**Pasqal** specializes in neutral atom quantum computing, controlling Rydberg atoms with high-precision optical tweezers. Their technology allows for arbitrary 2D and 3D topology and operates in Analog mode, which is particularly well suited for large-scale quantum simulation and optimization problems involving up to a hundred qubits.
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## Key features
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* **Scalability:** Pasqal's neutral atom technology allows for a high number of qubits in a single device, making it suitable for complex quantum algorithms.
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* **Reconfigurable topology:** Atoms can be arranged in arbitrary 2D patterns, enabling flexible connectivity for various algorithms.
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* **Analog mode:** Operates primarily as a quantum simulator (Hamiltonian evolution) rather than a gate-based computer, offering a different path to quantum advantage.
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## Use cases
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The Pasqal QPUs are particularly well suited for:
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* **Quantum simulation:** Simulating complex quantum systems, especially in chemistry and material science.
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* **Optimization problems:** Solving combinatorial optimization problems in QUBO representation using variational algorithms like QAOA
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## Pasqal QPUs and emulators available at Scaleway
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Scaleway provides access to Pasqal's "Orion Gamma" generation devices and their digital twins.
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* **Fresnel (100 Qubits) QPU allows you to trap and control over 100 atoms. It exploits the **Rydberg blockade** mechanism to create entanglement between atoms.
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* **Locations:** We provide access to two geographically distinct units:
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* `QPU-FRESNEL-100PQ` (Located in Massy, France)
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* `QPU-DISTRIQ-100PQ` (Located in Sherbrooke, Canada)
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* *Note: Both devices offer similar specifications.*
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| Platform name | QPU Model | Qubits & Topology | Speed Metrics | Pricing Model |
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| :--- | :--- | :--- | :--- | :--- | :--- |
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| **QPU-FRESNEL-100PQ** | Orion Beta | 100 atoms, 2D layout | shots: 0.25hz | 3.3€/shot (~0.83€/sec) |
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| **QPU-DISTRIQ-100PQ** | Orion Beta | 100 atoms, 2D layout | shots: 0.25hz | 3.3€/shot (~0.83€/sec) |
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We provide access to high-performance emulation environment, leveraging DGX-class GPU clusters to create digital twins of Pasqal QPUs. This is a crucial tool for reliably prototyping and validating complex Analog pulse sequences before running them efficiently on the physical hardware.
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| Platform name | Hardware & emulator | Qubits & topology | Speed metrics | Pricing model |
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| :--- | :--- | :--- | :--- | :--- |
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| **EMU-FRESNEL-100PQ** | A100 DGX cluster, Pulser | 100 atoms (tensor network), 2D layout | shots: 0.25hz | 11.2€/hour |
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## Pulser: The native SDK
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To program neutral atoms, you don't typically use "Gates" (like CNOT or Hadamard) as the primary abstraction. Instead, you define **Pulse Sequences** using **Pulser**, Pasqal's open-source Python SDK.
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**Pulser allows you to:**
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* **Define the register:** Place your atoms at specific coordinates.
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* **Design the sequence:** Define the laser pulses (amplitude, detuning, phase) applied to the atoms over time.
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* **Execute:** Run the sequence locally or remotely.
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On Scaleway QaaS, the integration is handled by the `pulser-scaleway` package, providing access to Pasqal QPUs and emulators.
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<Message type="tip">
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Refer to the [How to program Pasqal processors](/quantum-computing/how-to/use-pasqal-qpus) to learn how to use them at Scaleway.
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</Message>
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‎pages/quantum-computing/additional-content/quandela-qpus.mdx‎

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---
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title: Quandela QPUs Information
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description: Learn more about Quandela QPUs available at Scaleway.
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tags: quandela qpu
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dates:
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validation: 2025-11-21
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posted: 2021-11-21
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---
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Developed by **Quandela**, a French quantum computing leader founded in 2017. Their technology is based on Linear Optical Quantum Computing (LOQC), utilizing proprietary single-photon sources and reconfigurable optical circuits to process information at room temperature.
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## Key features
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* **Room temperature operation:** Unlike many quantum technologies that require cryogenic temperatures, Quandela's photonic QPUs operate at room temperature, simplifying infrastructure needs.
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* **All-to-All connectivity:** The photonic qumodes are interconnected through linear optical components, allowing for flexible circuit designs and
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* **Linear optical computing:** Utilizes single photons to process information through reconfigurable optical circuits, operating largely at room temperature (chip-level).
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* **High-Quality Sources:** Powered by proprietary high-performance single-photon sources, ensuring indistinguishable photons for high-quality interference.
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* **Native probabilistic computing:** The hardware natively implements sampling tasks, making it inherently suited for probabilistic modeling.
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## Use cases
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* **Quantum Machine Learning (QML):** Ideal for generative modeling, classification, and training quantum neural networks (QNNs).
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* **Linear algebra:** Efficiently solves differential equations and complex linear algebra problems used in engineering and physics.
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* **Certified randomness:** Generation of high-quality entropy for cryptography and stochastic simulations.
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## Quandela QPUs available at Scaleway
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Scaleway provides access to Quandela's "Mosaiq" generation devices and their digital twins.
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| Platform name | QPU Model | Qubits & Topology | Fidelity Metrics (Avg)* | Speed Metrics | Pricing Model |
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| :--- | :--- | :--- | :--- | :--- | :--- |
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| **QPU-ASCELLA-6PQ** | Mosaiq-6 | 6 photons, 12 modes, All-to-All | 1 gate: 99.6% 2 gates: 99% readout: 99% | 4Mhz 144 op/s | 0.3€/circuit + 0.000001€/shot or 750€/hour |
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| **QPU-ALTAIR-10PQ** | Mosaiq-10 | 10 photons, 20 modes, All-to-All | 1 gate: 99.94% 2 gates: 98.2% readout: 99% | 3Mhz 400 op/s | X | 0.3€/circuit + 0.000001€/shot |
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| **QPU-BELENOS-12PQ** | Mosaiq-12 | 12 photons, 24 modes, Dual-Rail-Encoding, All-to-All | 1 gate: 99.6% 2 gates: 99% readout: 99% | 3Mhz 576 op/s | X | 0.3€/circuit + 0.000001€/shot or 1000€/hour |
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Developed by Quandela, exQalibur is a cutting-edge photonic quantum emulator accelerated by Scaleway's most powerful GPUs. This synergy enables large-scale simulations, allowing users to explore complex parameter spaces across 31 photonic qubits at kilohertz rates, accelerating prototyping and optimization of advanced quantum algorithms.
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| Platform name | Hardware & emulator | Qubits & topology | Fidelity metrics | Pricing model |
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| :--- | :--- | :--- | :--- | :--- |
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| **EMU-SAMPLING-L4** | L4 GPU, exQalibur | 26 photons, hundred modes, All-to-All | Logical qubits | 1.125€/hour |
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| **EMU-SAMPLING-2L4** | 2x L4 GPU, exQalibur | 27 photons, hundred modes, All-to-All | Logical qubits | 2.25€/hour |
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| **EMU-SAMPLING-4L4** | 4x L4 GPU, exQalibur | 28 photons, hundred modes, All-to-All | Logical qubits | 5.5€/hour |
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| **EMU-SAMPLING-4H100SXM** | 4xH100 SXM GPU, exQalibur | 30 photons, hundred modes, All-to-All | Logical qubits | 17.415€/hour |
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| **EMU-SAMPLING-8H100SXM** | 8xH100 SXM GPU, exQalibur | 31 photons, hundred modes, All-to-All | Logical qubits | 34.542€/hour |
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## Perceval: The native SDK for photonic
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**Perceval** is the open-source software framework created by Quandela for linear optical quantum computing. It provides a simple and powerful object-oriented API to:
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- **Design** - linear optical circuits (Beam Splitters, Phase Shifters, etc.).
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- **Simulate** - photon behavior (ideal or noisy simulation).
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- **Execute** - algorithms on various backends: local simulators, high-performance remote simulators (on GPU), or real photonic QPUs.
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On Scaleway QaaS, the integration is natively integrated into `perceval-quandela` package, which acts as a remote backend for your sequences.
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<Message type="tip">
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Refer to the [How to program Quandela processors](/quantum-computing/how-to/use-perceval-qpus) to learn how to use them at Scaleway.
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</Message>
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‎pages/quantum-computing/additional-content/quantum-computing-information.mdx‎

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---
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title: Quantum Computing Information
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description: Learn more about Scaleway Quantum computing.
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tags: qpu
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dates:
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validation: 2025-11-21
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posted: 2021-11-21
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---
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## Understanding emulation billing
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Scaleway offers different "Platforms" for emulation, ranging from standard CPU instances to high-end GPU clusters.
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* **Platform selection**: When you choose a backend (e.g., EMU-AER-H100), Scaleway dynamically allocates the requested resource.
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* **Session & billing**: Behind the scenes, a Session is created for your computation. Unlike QPU "shots", emulation is typically billed based on the duration of resource usage (similar to renting a cloud instance). This makes it cost-effective for running massive batches of shots or debugging complex algorithms.
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* **End of billing**: It stops when you terminate your Session or after a timeout.
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<Message type="tip"> Performance Tip: The service automatically handles data compression. This is particularly useful when running algorithms like QML (Quantum Machine Learning) or Variational Algorithms (VQE/QAOA) where large amounts of parameters and results are exchanged between the classical client and the quantum backend. </Message>
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## Understanding platform names
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Scaleway exposes resources via distinct Platform naming that you must specify when selecting a backend:
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* **`QPU-IBEX-12PQ`**: This connects you to the **real quantum computer** here, located at AQT's headquarters, in Innbruck. The naming specifies the number of **physical qubits** Use this for final runs and validatable experiments.
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* **`EMU-IBEX-12PQ-L4`**: This connects you to a **noisy emulator**. It mimics the real hardware connectivity and gates but runs classically (on Scaleway's L4 GPU instances). Use this for debugging and testing your code logic before running on the real QPU hardware and paying for real quantum shots.
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* **`EMU-QSIM-H100`**: This connects you to the **noiseless emulator**, here based on Google Qsim emulator, running on powerful H100 GPUs. It does not mimic any specific hardware but provides a fast and efficient way to simulate larger circuits without noise. Use this for prototyping and exploring larger quantum algorithms.
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## From console to code
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Scaleway Quantum Computing platform is primarily designed to be **coding first** but also provides a [web console](https://console.scaleway.com/qaas/) to create and manage your Sessions.
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If you created a session via the Scaleway [console](https://console.scaleway.com/qaas/sessions/create), you can reconnect to it using its `deduplication_id` during initialization in your code from `Qiskit`, `Cirq`, `Pulser` or `Perceval`.

‎pages/quantum-computing/api-cli/index.mdx‎

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---
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title: Quantum Computing - API/CLI Documentation
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description: API reference for Scaleway Quantum Computing.
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---

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